Malini Mukherjee

4.0k total citations
41 papers, 1.6k citations indexed

About

Malini Mukherjee is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Malini Mukherjee has authored 41 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Oncology and 15 papers in Immunology. Recurrent topics in Malini Mukherjee's work include CAR-T cell therapy research (15 papers), Immune Cell Function and Interaction (9 papers) and Renal and related cancers (8 papers). Malini Mukherjee is often cited by papers focused on CAR-T cell therapy research (15 papers), Immune Cell Function and Interaction (9 papers) and Renal and related cancers (8 papers). Malini Mukherjee collaborates with scholars based in United States, Portugal and Australia. Malini Mukherjee's co-authors include Frits M. Dautzenberg, Jordan S. Orange, Nabil Ahmed, Tiara T. Byrd, Meenakshi Hegde, Pavel Sumazin, Malcolm K. Brenner, Madhuwanti Srinivasan, Maksim Mamonkin and Kevin Bielamowicz and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Malini Mukherjee

38 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Malini Mukherjee United States 17 1.0k 554 523 395 372 41 1.6k
Hua Jiang China 35 2.4k 2.4× 1.2k 2.1× 515 1.0× 396 1.0× 1.3k 3.5× 81 3.6k
Alice A. Tomei United States 17 641 0.6× 400 0.7× 417 0.8× 291 0.7× 492 1.3× 38 1.8k
David Zhang United States 17 431 0.4× 484 0.9× 449 0.9× 170 0.4× 417 1.1× 25 1.3k
Chinghai Kao United States 31 1.1k 1.1× 2.0k 3.6× 176 0.3× 1.1k 2.8× 310 0.8× 98 3.5k
Eva Schmelzer United States 22 370 0.4× 834 1.5× 422 0.8× 103 0.3× 80 0.2× 59 2.4k
Brian Philip United Kingdom 11 1.3k 1.3× 780 1.4× 824 1.6× 491 1.2× 396 1.1× 18 2.0k
William Gunn United States 9 350 0.3× 777 1.4× 679 1.3× 123 0.3× 65 0.2× 13 2.2k
Adam Grippin United States 14 463 0.5× 362 0.7× 261 0.5× 102 0.3× 402 1.1× 47 1.1k
Lisha Ai China 23 577 0.6× 568 1.0× 180 0.3× 90 0.2× 248 0.7× 46 1.5k
Wenjun Cheng China 22 376 0.4× 1.2k 2.2× 244 0.5× 116 0.3× 192 0.5× 76 2.4k

Countries citing papers authored by Malini Mukherjee

Since Specialization
Citations

This map shows the geographic impact of Malini Mukherjee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Malini Mukherjee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malini Mukherjee more than expected).

Fields of papers citing papers by Malini Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malini Mukherjee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Malini Mukherjee. The network helps show where Malini Mukherjee may publish in the future.

Co-authorship network of co-authors of Malini Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Malini Mukherjee. A scholar is included among the top collaborators of Malini Mukherjee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Malini Mukherjee. Malini Mukherjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Barrientos, Rodell C., Mayank Bhavsar, Heather Wang, et al.. (2024). Digitally Enabled Generic Analytical Framework Accelerating the Pace of Liquid Chromatography Method Development for Vaccine Adjuvant Formulations. ACS Pharmacology & Translational Science. 7(10). 3108–3118. 1 indexed citations
4.
Vlasak, Josef, et al.. (2023). Development and Characterization of an In Vitro Cell-Based Assay to Predict Potency of mRNA–LNP-Based Vaccines. Vaccines. 11(7). 1224–1224. 18 indexed citations
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Davide, Joseph P., et al.. (2022). Development of process analytical tools for rapid monitoring of live virus vaccines in manufacturing. Scientific Reports. 12(1). 15494–15494. 9 indexed citations
7.
Mukherjee, Malini, et al.. (2021). Sox2 Is an Oncogenic Driver of Small-Cell Lung Cancer and Promotes the Classic Neuroendocrine Subtype. Molecular Cancer Research. 19(12). 2015–2025. 14 indexed citations
8.
Ha, Sha, Joseph P. Davide, Joseph P. Califano, et al.. (2021). Flow virometry for process monitoring of live virus vaccines-lessons learned from ERVEBO. Scientific Reports. 11(1). 7432–7432. 11 indexed citations
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Mukherjee, Malini, et al.. (2018). Endogenous Notch Signaling in Adult Kidneys Maintains Segment-Specific Epithelial Cell Types of the Distal Tubules and Collecting Ducts to Ensure Water Homeostasis. Journal of the American Society of Nephrology. 30(1). 110–126. 38 indexed citations
11.
Omer, Bilal, Paul Castillo, Haruko Tashiro, et al.. (2018). Chimeric Antigen Receptor Signaling Domains Differentially Regulate Proliferation and Native T Cell Receptor Function in Virus-Specific T Cells. Frontiers in Medicine. 5. 343–343. 15 indexed citations
12.
Mamonkin, Maksim, Malini Mukherjee, Madhuwanti Srinivasan, et al.. (2017). Reversible Transgene Expression Reduces Fratricide and Permits 4-1BB Costimulation of CAR T Cells Directed to T-cell Malignancies. Cancer Immunology Research. 6(1). 47–58. 79 indexed citations
13.
Bielamowicz, Kevin, Kristen Fousek, Tiara T. Byrd, et al.. (2017). Trivalent CAR T cells overcome interpatient antigenic variability in glioblastoma. Neuro-Oncology. 20(4). 506–518. 339 indexed citations
14.
Mukherjee, Malini, Emily M. Mace, Alexandre F. Carisey, Nabil Ahmed, & Jordan S. Orange. (2017). Quantitative Imaging Approaches to Study the CAR Immunological Synapse. Molecular Therapy. 25(8). 1757–1768. 50 indexed citations
15.
Gomes‐Silva, Diogo, Malini Mukherjee, Madhuwanti Srinivasan, et al.. (2017). Tonic 4-1BB Costimulation in Chimeric Antigen Receptors Impedes T Cell Survival and Is Vector-Dependent. Cell Reports. 21(1). 17–26. 187 indexed citations
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Mukherjee, Malini, et al.. (2017). Elf5 is a principal cell lineage specific transcription factor in the kidney that contributes to Aqp 2 and Avpr 2 gene expression. Developmental Biology. 424(1). 77–89. 37 indexed citations
17.
Mukherjee, Malini, Tiara T. Byrd, Vita S. Brawley, et al.. (2014). Overexpression and constitutive nuclear localization of cohesin protease Separase protein correlates with high incidence of relapse and reduced overall survival in glioblastoma multiforme. Journal of Neuro-Oncology. 119(1). 27–35. 25 indexed citations
18.
Mukherjee, Malini, Nenggang Zhang, David G. Edwards, et al.. (2013). MMTV-Espl1 transgenic mice develop aneuploid, estrogen receptor alpha (ERα)-positive mammary adenocarcinomas. Oncogene. 33(48). 5511–5522. 54 indexed citations
19.
Kumar, Prashant, et al.. (2012). Cooperativity of Rb, Brca1, and p53 in Malignant Breast Cancer Evolution. PLoS Genetics. 8(11). e1003027–e1003027. 20 indexed citations
20.
Mukherjee, Malini, Nenggang Zhang, Eryong Huang, et al.. (2011). Separase Loss of Function Cooperates with the Loss of p53 in the Initiation and Progression of T- and B-Cell Lymphoma, Leukemia and Aneuploidy in Mice. PLoS ONE. 6(7). e22167–e22167. 29 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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